Cloud Services Manager (Container)

Req ID: 142267
Remote Position: Hybrid
Region: Asia
Country: India
State/Province: Chennai
City: Guindy, Chennai

Summary

Seeking an execution-focused, technically proficient Manager of Cloud Services to lead the day-to-day engineering and operations of our multi-cloud ecosystem across AWS, Azure, and GCP. Reporting to the Senior Manager of Cloud Architecture & Engineering, you will lead a dedicated squad of cloud, DevOps, and platform engineers tasked with translating high-level architecture designs into robust, production-grade deployments.

You will manage the implementation, maintenance, and reliability of our enterprise container platforms (GKE, AKS, OpenShift, and native Kubernetes), operationalize infrastructure for AI models and agentic workflows, and drive hands-on GitOps and IaC practices. This is an active, technical leadership role requiring direct participation in code reviews, pipeline automation, disaster recovery execution, and operational support.

Detailed Description

Performs tasks such as, but not limited to, the following:

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Blueprint Execution: Translate multi-cloud architectural frameworks into production-ready infrastructure across AWS, Azure, and GCP.

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Container Environment Provisioning: Implement and standardize cluster topologies across Red Hat OpenShift, GKE, AKS, and upstream Kubernetes per architectural guidelines.

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AI Runtime Infrastructure: Deploy and support execution infrastructure for machine learning and agentic AI systems (e.g., configuring GPU/TPU nodes, model serving runtimes like vLLM/Triton, vector database clusters, and secure runtime sandboxes for agent execution).

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IaC Authoring & Review: Write, review, and maintain production Terraform modules, Helm charts, and raw Kubernetes/Kustomize manifests.

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GitOps Delivery: Manage and optimize automated GitOps pipelines using ArgoCD or Flux to ensure version-controlled, continuous deployments across staging and production clusters.

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Internal Platform Enablement: Maintain CI/CD pipelines, container registries, and self-service templates enabling software engineering and data science teams to deploy microservices smoothly.

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Cluster Lifecycle Execution: Coordinate and execute rolling cluster version upgrades, worker node pool patching, and OS maintenance across multi-cloud Kubernetes fleets with zero service disruption.